> For the complete documentation index, see [llms.txt](https://realgo.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://realgo.gitbook.io/whitepaper/roadmap.md). # Roadmap ### Q1 2026 Activate and expand the in-game economy. Launch real-world landmark events and hybrid online–offline competitions. Develop branded merchandise, licensing programs, and cultural collaborations. Upgrade the Meme AI Companion System. ### Q2 2026 Introduce Game Economy & Incentive System 2.0. Begin building Meme Universe 2.0: Token Creation Hub, Community & Leader Programs. Launch the DApp and lightweight game system. Explore R\&D for gaming smart hardware and wearable devices. ### Q3 2026 Roll out Global Strategy & Marketing 2.0. Launch Meme Mini-Programs. Build Meme Universe 3.0: Trading, NFTs, Culture & Social systems, and Meme Payment infrastructure. Release Meme Game Creation Agent 1.0, along with the Meme MCP Protocol and Skills Marketplace. ### Q4 2026 Launch wearable devices to the market. Release Meme Game Creation Agent 2.0. Launch Low-Code Meme Mini-Program Creation Platform 1.0. Promote the establishment of an international public organization centered on meme culture. ## Product Vision & Roadmap Highlights ### **Onchain Utilities and Infrastructure** RealGo brings intent-based trading, DEX aggregation, cross-chain liquidity, and a launchpad-to-game distribution pipeline into one integrated system. Users can trade through natural language with best-route execution across chains, access low-slippage aggregated liquidity tailored for meme assets, and launch new meme projects through a fair launchpad that plugs directly into RealGo gameplay, campaigns, and rewards. ### **Attention Intelligence** RealGo captures and quantifies meme attention and behavior signals across the ecosystem, turning culture into measurable data. These insights power discovery, campaign optimization, and trend timing for meme communities and partners. ### **SENTIMENT IN MOTION** RealGo turns market sentiment intelligence into a live gameplay signal. Meme characters react in real time to price action and momentum, shifting mood, behavior, and encounters as the market moves, so you can feel what’s happening beyond charts and social feeds. ### **BATTLE OF THE MEMES** RealGo turns meme rivalries into head-to-head PvP, with fast fights, faction pride, and character-driven banter that makes every match feel like a moment worth sharing. ### **AI Creator Agents** RealGo equips communities with AI agents that generate meme-native content quickly and consistently. This accelerates remix, distribution, and always-on community output without requiring a full creative team. ### **GAMIFIED PREDICTION MARKET** RealGo’s prediction market turns meme momentum into a playable mechanic. Players choose sides on upcoming outcomes and back their conviction with tokens, turning community sentiment into live participation that evolves with every matchup and market move. ### **Real-World Activations** RealGo extends meme culture beyond the screen by turning venues and events into a playable destinations. We aim to build a scalable activation layer for partnerships, including sponsored locations, featured events and immersive 3D spaces where players can gather, interact, and play. ### **Real-World Expansion** We also bring digital IP into physical distribution through co-branded merchandise and collectible drops, creating a scalable pipeline from in-game moments to real-world products, built for mainstream consumer demand. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://realgo.gitbook.io/whitepaper/roadmap.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.